一种分尺度的面波压制方法

doi:10.7623/syxb201402010

石油学报 ›› 2014, Vol. 35 ›› Issue (2): 303-309.DOI: 10.7623/syxb201402010

一种分尺度的面波压制方法

王德营¹, 李振春¹, 黄建平¹, 杨璐², 陈鹏³

1. 中国石油大学地球科学与技术学院山东青岛 266580;
2. 中国石油集团东方地球物理勘探有限责任公司新兴物探开发处河北涿州 072751;
3. 中国石油长庆油田公司勘探开发研究院陕西西安 710018

收稿日期:2013-09-06 修回日期:2013-11-24 出版日期:2014-03-25 发布日期:2014-04-11
通讯作者: 邹娟，女，1987年2月生，2010年毕业于中国石油大学（华东），现为中国石油大学（华东）地球科学与技术学院博士研究生，主要从事油气区构造解析、构造应力场研究。Email：zoujuan2012@yeah.net
作者简介:邹娟，女，1987年2月生，2010年毕业于中国石油大学（华东），现为中国石油大学（华东）地球科学与技术学院博士研究生，主要从事油气区构造解析、构造应力场研究。Email：zoujuan2012@yeah.net
基金资助:
国家重点基础研究发展计划（973）项目（2011CB202402）；国家自然科学基金项目（No.41104069和No.41274124）；山东省自然科学基金项目（ZR2011DQ016）及中央高校基本科研业务经费专项资金项目（R1401005A）资助。

A surface wave suppression method based on scale-partition

Wang Deying¹, Li Zhenchun¹, Huang Jianping¹, Yang Lu², Chen Peng³

1. School of Geosciences, China University of Petroleum, Qingdao 266580, China;
2. Department of Emerging Geophysical Exploration Development, CNPC Geophysical Company Limited, Zhuozhou 072751, China;
3. Research Institute of Exploration and Development, PetroChina Changqing Oilfield Company, Xi'an 710018, China

Received:2013-09-06 Revised:2013-11-24 Online:2014-03-25 Published:2014-04-11

摘要/Abstract

摘要：

面波是陆上地震勘探中的主要干扰波之一，常规的面波压制方法仅从面波与反射信号在某一方面的差异进行压制，会在一定程度上造成有效信号的损伤。利用不同尺度面波与有效信号的差异，提出一种分尺度分级压制面波的方法。对地震数据的高尺度部分在Shearlet域进行反射波与面波的分离，对地震数据的低尺度部分在S域采用经验模态分解（EMD）的方式进行信噪分离。将该方法用于模型及实际资料处理，处理结果表明了该方法的正确性与有效性；并与Curvelet域的阈值法进行了对比，结果表明此方法在保持反射信息的同时面波压制更彻底。

关键词: 地震面波压制, Shearlet变换, S变换, 经验模态分解, Curvelet域, 保幅

Abstract:

Surface wave is one of the main interference waves in land-based seismic exploration. In conventional methods for surface wave suppression are only based on a difference in the properties of reflection signals and surface waves, and may result in energy loss of effective signals to some extent. In view of differences between the surface waves of different scales and effective signals, this paper proposes a surface wave suppression method based on scale-partition and grading. Surface waves and reflection waves in high-scale seismic data are separated in Shearlet domain; Using the Empirical Mode Decomposition Method, signal and noise of low-scale seismic data are separated in S domain. This suppression method is applied in modeling and processing of real data, which proves its correctness and validity. As compared with the threshold method in Curvelet domain, this method can achieve more complete suppression of surface waves, while keeping the reflection information.

Key words: seismic surface wave suppression, Shearlet transform, S-transform, empirical mode decomposition, Curvelet domain, amplitude preservation

中图分类号:

P631.4

王德营, 李振春, 黄建平, 杨璐, 陈鹏. 一种分尺度的面波压制方法[J]. 石油学报, 2014, 35(2): 303-309.

Wang Deying, Li Zhenchun, Huang Jianping, Yang Lu, Chen Peng. A surface wave suppression method based on scale-partition[J]. ACTA PETROLEI SINICA, 2014, 35(2): 303-309.

参考文献

[1] 孟大江, 王德利, 冯飞, 等.基于Curvelet变换的稀疏反褶积[J].石油学报, 2013, 34(1):107-114.
Meng Dajiang, Wang Deli, Feng Fei, et al.Sparse deconvolution based on the Curvelet transform[J].Acta Petrolei Sinica, 2013, 34(1):107-114.
[2] 夏义平, 徐礼贵, 温铁民, 等.叠前偏移及储层预测技术研发进展与应用[J].石油学报, 2012, 33(增刊1):132-141.
Xia Yiping, Xu Ligui, Wen Tiemin, et al.Progress and applications of prestack migration and reservoir forecasting technology[J].Acta Petrolei Sinica, 2012, 33(Supplement 1):132-141.
[3] 屈勇, 曹俊兴, 朱海东, 等.一种改进的全变分地震图像去噪技术[J].石油学报, 2011, 32(5):815-819.
Qu Yong, Cao Junxing, Zhu Haidong, et al.An improved total variation technique for seismic image denoising[J].Acta Petrolei Sinica, 2011, 32(5):815-819.
[4] 伊尔马兹渥.地震资料分析—地震资料处理、反演和解释(上册)[M].刘怀山, 王克斌, 童思友, 等译.北京:石油工业出版社, 2006.
Yilmaz O.Seismic data analysis:processing, inversion and interpretation of seismic data:volumn I[M].Translated by Liu H S, Wang K B, Tong S Y, et al.Beijing:Petroleum Industry Press, 2006.
[5] Galbraith J N, Wiggins R A.Characteristics of optimum multi-channel stackiing filters[J].Geophysics, 1968, 33(1):36-48.
[6] Herrmann R B, Russell D R.Ground roll:rejection using adaptive phase-matched filters[J].Geophysics, 1990, 55(6):776-781.
[7] Porsani M J, Silva M G, Melo P E M, et al.SVD filtering applied to ground-roll attenuation[J].Journal of Geophysics and Engineering, 2010, 7(3):284-289.
[8] de Franco R, Musacchio G.Polarization filter with singular value decomposition[J].Geophysics, 2001, 66(3):932-938.
[9] Karsli H, Bayrak Y.Using the Wiener-Levinson algorithm to suppress ground-roll[J].Journal of Applied Geophysics, 2004, 55(3/4):187-197.
[10] Karsli H, Bayrak Y.Ground-roll attenuation based on Wiener filtering and benefits of time-frequency imaging[J].The Leading Edge, 2008, 27(2):206-209.
[11] Londoño E G, López L C, de Souza T.Using the karhunen-loeve transform to suppress ground roll in seismic data[J].Earth Sciences Research Journal, 2005, 9(2):139-147.
[12] Liu X W.Ground roll supression using the Karhunen-Louve transform[J].Geophysics, 1999, 64(2):564-566.
[13] Corso G, Kuhn P S, Thome Z D.Seismic ground roll time-frequency filtering using the gaussian wavelet transform[J].Physica A:Statistical and Its Applications, 2003, 318(3/4):551-561.
[14] Zhang Rongfeng, Tadeusz J U.Physical wavelet frame denoising[J].Geophysics, 2003, 68(1):225-231.
[15] Welford J K, Zhang Rongfeng.Ground-roll suppression from deep crustal seismic reflection data using a wavelet-based approach:a case study from western Canada[J].Geophysics, 2004, 69(4):877-884.
[16] Askari R, Siahkoohi H R.Ground roll attenuation using the S and x-f-k transforms[J].Geophysical Prospecting, 2008, 56(1):105-114.
[17] Parolai S.Denoising of seismograms using the S transform[J].Bulletin of the Seismological Society of America, 2009, 99(1):226-234.
[18] 包乾宗, 高静怀, 陈文超.面波压制的Ridgelet域方法[J].地球物理学报, 2007, 50(4):1210-1215.
Bao Qianzong, Gao Jinghuai, Chen Wenchao.Ridgelet domain mathod of ground-roll suppression[J].Chinese Journal of Geophysics, 2007, 50(4):1210-1215.
[19] Zheng Jingjing, Yin Xingyao, Zhang Guangzhi, et al.The surface wave suppression using the second generation curvelet transform[J].Applied Geophysics, 2010, 7(4):325-335.
[20] 董烈乾, 李振春, 王德营, 等.第二代Curvelet变换压制面波方法[J].石油地球物理勘探, 2011, 46(6):897-904.
Dong Lieqian, Li Zhenchun, Wang Deying, et al.Ground-roll suppression based on the second generation Curvelet transform[J].Oil Geophysical Prospecting, 2011, 46(6):897-904.
[21] Guo K H, Labate D.Optimally sparse multidimensional representation using shearlets[J].SIAM Journal on Mathematical Analysis, 2007, 39(1):298-318.
[22] Guo K H, Labate D.Optimally sparse representations of 3D data with C2 surface singularities using Parseval frames of shearlets[J].SIAM Journal on Mathematical Analysis, 2012, 44(2):851-886.
[23] Stockwell R G, Mansinha L, Lowe R P.Localization of the complex spectrum:the S transform[J].IEEE Transactions on Signal Processing, 1996, 44(4):998.
[24] 张宇, 靳世久, 何静菁, 等.基于动态压力信号的管道泄露特征提取方法研究[J].石油学报, 2010, 31(2):338-342.
Zhang Yu, Jin Shijiu, He Jingjing, et al.Extraction method for pipeline leakage feature based on dynamic pressure signal[J].Acta Petrolei Sinica, 2010, 31(2):338-342.
[25] Huang N E, Shen Z, Long S R, et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[J].Proceedings of the Royal Society London A, 1998, 454:903-995.
[26] 曲志刚, 靳世久, 封皓, 等.基于经验模态分解的管道预警系统信号多尺度混沌特性分析方法[J].石油学报, 2008, 29(2):313-316.
Qu Zhigang, Jin Shijiu, Feng Hao, et al.Multi-scale chaotic characteristic analysis of detection signals in pipeline pre-warning system based on empirical mode decomposition[J].Acta Petrolei Sinica, 2008, 29(2):313-316.

一种分尺度的面波压制方法

A surface wave suppression method based on scale-partition

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